Senior Software Engineer - Python

About the Role

We are seeking a highly skilled Senior Software Engineer- Python with expertise in building scalable backend systems, APIs, and platform services that power modern data and AI applications. The ideal candidate will have strong experience in Python-based backend development, distributed systems, cloud-native architectures, and microservices, along with exposure to data engineering and modern data platforms.

This role requires a self-driven engineer who can independently design and develop backend services, collaborate with cross-functional teams, and contribute to the architecture of enterprise-scale platforms supporting analytics, AI, machine learning, and real-time data applications.

Key Responsibilities

1. Backend Platform Engineering

• Design, develop, and maintain scalable backend services and APIs using Python, FastAPI, and Flask.
• Build high-performance microservices and distributed systems for data and AI-driven applications.
• Apply Object-Oriented Programming (OOP), design patterns, and software engineering best practices.
• Optimize application performance, scalability, reliability, and security.
• Implement robust authentication, authorization, monitoring, and observability frameworks.

2. Distributed Systems & Data Processing

• Develop backend services that integrate with large-scale data platforms and analytics systems.
• Build and optimize batch and real-time data processing workflows using technologies such as Kafka, Apache Beam, and Apache Flink.
• Design scalable solutions for high-volume data ingestion, transformation, and processing.
• Work with modern data platforms such as Databricks, Snowflake, AWS Glue, Dataflow, or equivalent technologies.

3. Cloud, DevOps & Infrastructure

• Build and deploy cloud-native applications on AWS, GCP, or Azure.
• Implement Infrastructure as Code (Terraform) and containerized deployments using Docker and Kubernetes.
• Develop CI/CD pipelines and adopt DataOps/DevOps best practices.
• Establish monitoring, alerting, logging, and observability for production systems.

4. Collaboration & Technical Leadership

• Collaborate with Product, Software, Data, and AI/ML teams.
• Own technical initiatives from design through deployment and maintenance.
• Mentor engineers and drive engineering excellence across teams.
• Participate in architecture reviews and technical decision-making.

Qualifications

• 4+ years of experience in Backend Engineering or Software Engineering.
• Strong proficiency in Python, FastAPI, Flask, OOP, and software design principles.
• Experience building scalable REST APIs, microservices, and distributed systems.
• Experience with Kafka or other event-streaming technologies.
• Experience with Docker, Kubernetes, Terraform, and CI/CD pipelines.
• Strong understanding of cloud platforms (AWS, GCP, or Azure).
• Excellent problem-solving and system design skills.

Preferred

• Experience with Data Engineering concepts, ELT/ETL pipelines, and workflow orchestration (Airflow/Dagster).
• Good to have experience with dbt, Snowflake, Databricks, Apache Beam, or Apache Flink.
• Good to have exposure to Lakehouse architectures (Apache Iceberg, Delta Lake, Medallion Architecture).
• Good to have experience with building AI/ML or RAG infrastructure.
• Familiarity with vector databases, embeddings, and feature stores.

Work Location: Ahmedabad/Pune 

Contact us to apply

If you would like to apply for this role, send your resume to [Confidential Information].